Reweighting Signal Spectra to Improve Spatial Sensitivity for an Electrostatic Sensor

Area of Science:

• Engineering
• Physics

Background:

• Electrostatic sensors are used for gas-solid flow measurement.
• These sensors suffer from flow profile dependency, affecting accuracy.
• Existing methods often require sensor modification.

Purpose of the Study:

• To develop a signal processing method to overcome flow profile dependency in electrostatic sensors.
• To enhance the spatial sensitivity of ring-shaped electrostatic sensors without structural modification.

Main Methods:

• A novel signal processing technique using the power spectrum's successive tails was employed.
• Elementary frequency components corresponding to equivalent roping flow streams were identified.
• Decomposed spectral components were reweighted based on radial locations of flow streams.
• Interpolation methods were discussed and evaluated.

Main Results:

• Achieved improved spatial sensitivity of the electrostatic sensor.
• The method effectively compensates for flow profile dependency.
• Evaluated the impact of different velocity profiles on the method's performance.

Conclusions:

• The proposed signal processing method enhances electrostatic sensor performance for gas-solid flow measurement.
• This approach offers a non-invasive solution to improve measurement accuracy.
• The method's robustness under varying velocity profiles was demonstrated.